Senior Machine Learning Engineer

Overview

Working at AtlassianAtlassians can choose where they work – whether in an office, from home, or a combination of the two. That way, Atlassians have more control over supporting their family, personal goals, and other priorities. We can hire people in any country where we have a legal entity.

Interviews and onboarding are conducted virtually, a part of being a distributed-first company.

Atlassian is seeking a Senior Machine Learning Engineer to join our Central AI team.

The Central AI organization constructs the fundamental infrastructure, data pipeline, frameworks, models, and other capabilities to expedite AI feature development throughout the entire company.

Your future teamThe Central AI org is part of the larger Atlassian Intelligence program. Its purpose is to accelerate AI innovation across all our products and platform, provide cohesive AI experiences and setup up an Atlassian AI infrastructure for the future. Additionally, Central AI is responsible for developing some of the core shared experiences typical in the AI domain, such as search, knowledge discovery and conversation.

As a Senior Machine Learning engineer, you will work on the development and implementation of the cutting edge machine learning algorithms, training sophisticated models, collaborating with product, engineering, and analytics teams, to build the AI functionalities into each Atlassian products and services.

Your daily responsibilities will encompass a broad spectrum of tasks such as designing system and model architectures, conducting rigorous experimentation and model evaluations, and providing guidance to junior ML engineers. Your role is pivotal, stretching beyond these tasks, ensuring AI's transformative potential is realized across our offerings.Pay Ranges

In The United States, we have three geographic pay zones. For this role, our current base pay ranges for new hires in each zone are:

On the first day, we'll expect you to have

Bachelor's or Master's degree (preferably a Computer Science degree or equivalent experience)

4+ years of related industry experience in the data science domain

Expertise in Python or Java with and the ability to write performant production-quality code, familiarity with SQL, knowledge of Spark and cloud data environments (e.g. AWS, Databricks)

Experience building and scaling machine learning models in business applications using large amounts of data

Agile development mindset, appreciating the benefit of constant iteration and improvement

It's great, but not required, if you have

Experience working in a consumer or B2C space for a SaaS product provider, or the enterprise/B2B space

Experience in developing deep learning-based models and working on LLM-related applications

Excelling in solving ambiguous and complex problems, being able to navigate through uncertain situations, breaking down complex challenges into manageable components and developing innovative solutions